Mise au point chez le nourrisson d'un critere de detection automatique des fuseaux de sommeil

Delapierre, G.; Dreano, E.; Samson-Dollfus, D; Sénant, J; Ménard, J. F.; Brucq, Denis De

doi:10.1016/s0370-4475(86)80058-2

Cited by 5 publications

(1 citation statement)

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“…Different techniques have been applied in the past to detect sleep spindles automatically: the phase locked loop [14][15][16][17], the complex demodulation [18. 19], the autore gressive modelling [20] and hardware-based methods [21]. Certain limitations arose from the fact that the detection was applied in general to a wide frequency range (approximately 11.5-15.0 Hz) and that the analysis was usually confined to only one channel (a central derivation: C3-A2 or C4-A1 according to Rechtschaffen and Kales [1], This recording site is not suitable for differentiating between the two postulated sleep spindle types, namely the slow frontal (about 12.0 Hz) and the fast parietal spin dles (14.0 Hz) [22,23].…”

Section: Introductionmentioning

confidence: 99%

Pattern Recognition by Matched Filtering: An Analysis of Sleep Spindle and K-Complex Density under the Influence of Lormetazepam and Zopiclone

Jobert

Poiseau²,

Jähnig³

et al. 1992

Neuropsychobiology

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The evaluation of sleep EEG patterns is mostly accomplished by visual analysis. With modern personal computers however, it is possible to perform signal detection within a reasonable length of time automatically. This paper presents a method for signal processing based on matched filtering. This allows the detection of sleep spindles and K-complexes in a sleep EEG recording with a high degree of accuracy. First the technique is described, and the results of a validation study based on the comparison of visual evaluations and computer analysis are presented. Thereafter, results of an application study are presented. Sleep spindle and K-complex density under the influence of lormetazepam and zopiclone were examined. Under both medications sleep spindle density increased while K-complex density decreased. Computation of Pearson’s correlation coefficients demonstrated that the interindividual sleep spindle and K-complex variations under both treatments are highly correlated. The data suggest that lormetazepam and zopiclone, although chemically different, have a similar mode of action and display comparable effects on the sleep EEG.

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Section: Introductionmentioning

confidence: 99%

Pattern Recognition by Matched Filtering: An Analysis of Sleep Spindle and K-Complex Density under the Influence of Lormetazepam and Zopiclone

Jobert

Poiseau²,

Jähnig³

et al. 1992

Neuropsychobiology

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Analysis of EEG transients by means of matching pursuit

Durka

Blinowska

1995

Ann Biomed Eng

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Matching pursuit (MP), a new technique of time-frequency signal analysis, was applied to simulated signals and the awake and sleep EEG. With the MP algorithm, waveforms from a very large class of functions were fitted to the local signal structures in a recursive procedure. By means of this technique, sleep spindles were localized in the time-frequency plane with high precision, and their intensities and time spans were found. The MP technique makes following the temporal evolution of transients and their propagation in brains possible. It opens up new possibilities in EEG research providing a means of investigation of dynamic processes in brains in a much finer time-frequency scale than any other method available at present.

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